Latest AI Research in RTS Games
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![Page 1: Latest AI Research in RTS Games](https://reader036.fdocuments.us/reader036/viewer/2022082422/56812a84550346895d8e1ab2/html5/thumbnails/1.jpg)
LATEST AI RESEARCH IN RTS GAMES
Omar Khaled Enayet – July 2009
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Index
Why is AI Development Slow in RTS-Games. AI Areas needing more research. Adaptation
Planning. Case-Based Planning. PDDL.
Learning. Dynamic Scripting. Reinforcement Learning.
Hierarchal Reinforcement Learning. Monte-Carlo Method. Temporal Difference Learning. Q-learning. Evolution Algorithms.
Hybrid CBR-RL. Opponent Modeling.
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Introduction
Planning is beginning to appear in commercial games such as DemiGod and Latest Total War Game.
Learning has limited success so far.
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Case Based Planning
CBR + planning
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PDDL
See Slides
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Machine Learning
See Wikipedia
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Reinforcement Learning
See Tutorial In 2008 Eric Kok’s thesis : Monte Carlo
and Dynamic Scripting
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Monte-Carlo Method
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Temporal Difference Learning
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Q-Learning
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Hybrid CBR-RL